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Models/GDAS

GDAS

Reported on 26 benchmarks across 2 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology26 results

  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Test)· 2019-10-10
    93.61
    best: 94.37 (DiNAS)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Search time (s)· 2019-10-10
    28926
    best: 31010 (SETN)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Val)· 2019-10-10
    71.34
    best: 73.49 (DiNAS)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Search time (s)· 2019-10-10
    28926
    best: 31010 (SETN)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Test)· 2019-10-10
    93.61
    best: 94.37 (DiNAS)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, CIFAR-10
    Search time (s)· 2019-10-10
    28926
    best: 31010 (SETN)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Val)· 2019-10-10
    71.34
    best: 73.49 (DiNAS)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, CIFAR-100
    Search time (s)· 2019-10-10
    28926
    best: 31010 (SETN)
    SOTA
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
    Accuracy (Test)· 2019-10-10
    41.71
    best: 46.98 (CR-LSO)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonNAS-Bench-201, ImageNet-16-120
    Search time (s)· 2019-10-10
    28926
    best: 151200 (Local search)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-10
    Accuracy (Val)· 2019-10-10
    89.89
    best: 91.61 (DiNAS)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonCIFAR-10
    Search Time (GPU days)· 2019-10-10
    0.21
    best: 224 (AlphaX-1 (cutout NASNet))
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonNAS-Bench-201, CIFAR-100
    Accuracy (Test)· 2019-10-10
    70.7
    best: 73.51 (DiNAS)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, ImageNet-16-120
    Accuracy (Test)· 2019-10-10
    41.71
    best: 46.98 (CR-LSO)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, ImageNet-16-120
    Search time (s)· 2019-10-10
    28926
    best: 151200 (Local search)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, CIFAR-10
    Accuracy (Val)· 2019-10-10
    89.89
    best: 91.61 (DiNAS)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonCIFAR-10
    Search Time (GPU days)· 2019-10-10
    0.21
    best: 224 (AlphaX-1 (cutout NASNet))
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • AutoMLonNAS-Bench-201, CIFAR-100
    Accuracy (Test)· 2019-10-10
    70.7
    best: 73.51 (DiNAS)
    Searching for A Robust Neural Architecture in Four GPU HoursarXiv:1910.04465
  • Neural Architecture SearchonImageNet
    Accuracy
    74
    best: 83.9 (DeepMAD-50M)
  • Neural Architecture SearchonImageNet
    MACs
    581
    best: 599 (EvNAS-B)
  • Neural Architecture SearchonImageNet
    Params
    5.3
    best: 30.1 (ZenNAS (0.1ms))
  • Neural Architecture SearchonImageNet
    Top-1 Error Rate
    26
    best: 16.1 (DeepMAD-50M)
  • AutoMLonImageNet
    Accuracy
    74
    best: 83.9 (DeepMAD-50M)
  • AutoMLonImageNet
    MACs
    581
    best: 599 (EvNAS-B)
  • AutoMLonImageNet
    Params
    5.3
    best: 30.1 (ZenNAS (0.1ms))
  • AutoMLonImageNet
    Top-1 Error Rate
    26
    best: 16.1 (DeepMAD-50M)